Computer Vision Algorithm Engineer
MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTD Toa Payoh Permanent
Job Description/Qualifications
Responsibilities:The job focuses on the development of image and signal processing algorithms for the next generations of optical inspection and metrology systems. The responsibilities of this position covers the entire life cycle of algorithms, including modeling, proof-of-concept design, production software design and implementation, performance characterization, documentation and user support.
Since algorithms can affect many aspects of the system, significant amount of time be spent on cross-function team collaboration for prototyping and testing.
Requirements:
- Ph.D. holder in Electrical Engineering, Computer Science and Physics with experience in algorithm development .
- The position requires a proven innovative track record and solid fundamental knowledge in the related fields of algorithm development, including texture analysis, deep learning, image segmentation, feature extraction, classification, statistical data analysis, signal processing, filter theory.
- Experience in any one of the following areas is a big plus: algorithm performance optimization, CUDA programming, parallel computing, distributed computing.
- Software skills required include C/C++, OOD/OOP, MATLAB and/or Python.
- The candidate needs to be a self-motivated individual with ability to work independently and/or in a team. written and verbal communications skills are needed for extensive interactions with members of a multi-disciplinary global team.
Queenstown, 8 km from Toa Payoh
both Computer Vision Algorithms, advanced ML/DNN and GenAI
• Research technologies and concepts in the areas of Machine Learning, Computer Vision and GenAI
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OMNIVISION TECHNOLOGIES SINGAPORE PTE. LTD.Bukit Batok, 10 km from Toa Payoh
Position Overview
• Be responsible to research and develop innovative computer vision/deep learning algorithms for image applications.
Responsibilities
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Queenstown, 8 km from Toa Payoh
worldwide, redefining what's possible with video intelligence.
Job Description
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